requirements_dev.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements_dev.txt --extra dev
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.11.18
    # via
    #   datasets
    #   fsspec
aiolimiter==1.2.1
    # via languagebench (pyproject.toml)
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.9.0
    # via
    #   httpx
    #   openai
    #   starlette
async-timeout==5.0.1
    # via aiohttp
attrs==25.3.0
    # via aiohttp
bert-score==0.3.13
    # via languagebench (pyproject.toml)
certifi==2025.4.26
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.2
    # via requests
click==8.1.8
    # via
    #   jiwer
    #   uvicorn
colorama==0.4.6
    # via sacrebleu
contourpy==1.3.2
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==3.5.1
    # via evaluate
dill==0.3.8
    # via
    #   datasets
    #   evaluate
    #   multiprocess
distro==1.9.0
    # via openai
elevenlabs==1.57.0
    # via languagebench (pyproject.toml)
evaluate==0.4.0
    # via languagebench (pyproject.toml)
exceptiongroup==1.2.2
    # via anyio
fastapi==0.115.12
    # via languagebench (pyproject.toml)
filelock==3.18.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.57.0
    # via matplotlib
frozenlist==1.6.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2025.3.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   elevenlabs
    #   openai
huggingface-hub==0.30.2
    # via
    #   languagebench (pyproject.toml)
    #   datasets
    #   evaluate
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.6
    # via torch
jiter==0.9.0
    # via openai
jiwer==3.1.0
    # via languagebench (pyproject.toml)
joblib==1.5.0
    # via languagebench (pyproject.toml)
kiwisolver==1.4.8
    # via matplotlib
langcodes==3.5.0
    # via languagebench (pyproject.toml)
language-data==1.3.0
    # via
    #   languagebench (pyproject.toml)
    #   langcodes
lxml==5.4.0
    # via sacrebleu
marisa-trie==1.2.1
    # via language-data
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via jinja2
matplotlib==3.10.1
    # via bert-score
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.4.3
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via
    #   datasets
    #   evaluate
networkx==3.4.2
    # via torch
numpy==2.2.5
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   contourpy
    #   datasets
    #   evaluate
    #   matplotlib
    #   pandas
    #   sacrebleu
    #   transformers
openai==1.77.0
    # via languagebench (pyproject.toml)
packaging==25.0
    # via
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   matplotlib
    #   transformers
pandas==2.2.3
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   datasets
    #   evaluate
pillow==11.2.1
    # via matplotlib
portalocker==3.1.1
    # via sacrebleu
propcache==0.3.1
    # via
    #   aiohttp
    #   yarl
protobuf==6.30.2
    # via languagebench (pyproject.toml)
pyarrow==20.0.0
    # via datasets
pydantic==2.11.4
    # via
    #   elevenlabs
    #   fastapi
    #   openai
pydantic-core==2.33.2
    # via
    #   elevenlabs
    #   pydantic
pygments==2.19.1
    # via rich
pyparsing==3.2.3
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-dotenv==1.1.0
    # via languagebench (pyproject.toml)
pytz==2025.2
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
rapidfuzz==3.13.0
    # via jiwer
regex==2024.11.6
    # via
    #   sacrebleu
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   bert-score
    #   datasets
    #   elevenlabs
    #   evaluate
    #   huggingface-hub
    #   responses
    #   tiktoken
    #   transformers
responses==0.18.0
    # via evaluate
rich==14.0.0
    # via languagebench (pyproject.toml)
sacrebleu==2.5.1
    # via languagebench (pyproject.toml)
safetensors==0.5.3
    # via transformers
sentencepiece==0.2.0
    # via languagebench (pyproject.toml)
setuptools==80.3.1
    # via marisa-trie
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via
    #   anyio
    #   openai
starlette==0.46.2
    # via fastapi
sympy==1.14.0
    # via torch
tabulate==0.9.0
    # via sacrebleu
tiktoken==0.9.0
    # via languagebench (pyproject.toml)
tokenizers==0.21.1
    # via transformers
torch==2.7.0
    # via bert-score
tqdm==4.67.1
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   openai
    #   transformers
transformers==4.51.3
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
typing-extensions==4.13.2
    # via
    #   anyio
    #   elevenlabs
    #   fastapi
    #   huggingface-hub
    #   multidict
    #   openai
    #   pydantic
    #   pydantic-core
    #   rich
    #   torch
    #   typing-inspection
    #   uvicorn
typing-inspection==0.4.0
    # via pydantic
tzdata==2025.2
    # via pandas
urllib3==2.4.0
    # via
    #   requests
    #   responses
uvicorn==0.34.2
    # via languagebench (pyproject.toml)
websockets==15.0.1
    # via elevenlabs
xxhash==3.5.0
    # via
    #   datasets
    #   evaluate
yarl==1.20.0
    # via aiohttp